1
00:00:00,539 --> 00:00:06,989
If you can learn, yeah, so, yes. Do you
hear me? Yeah, me Okay. Yes. Okay. Very

2
00:00:06,989 --> 00:00:09,089
good. So let's start.

3
00:00:10,320 --> 00:00:15,180
I'm going to start this, this presentation
with a couple of introduction slides, but

4
00:00:15,180 --> 00:00:21,210
fabulous body Seder quite a lot about
these. So we, given its unique properties

5
00:00:21,210 --> 00:00:25,200
of course, dockworker presents an
important research topic at the at the

6
00:00:25,200 --> 00:00:32,370
LSE. The important most massive element pi
particle has also, its particularity of

7
00:00:32,370 --> 00:00:38,280
decaying before. tokenizing also allows us
to study bear Kwok through through the top

8
00:00:38,280 --> 00:00:43,470
walks in 3d represent an important probe
for boost testing the standard model and

9
00:00:43,500 --> 00:00:47,430
peace and physics, testing pressure but if
you see the next to next reading or the

10
00:00:47,430 --> 00:00:52,170
precision constraining button distribution
functions determining standard model

11
00:00:52,170 --> 00:00:56,640
parameters, studying rare processes and
costs training new physics and through

12
00:00:56,640 --> 00:00:59,970
indirect measurements of admittance
couplings or died surgery.

13
00:01:00,000 --> 00:01:03,630
For heavy residencies coupling to the top
cook.

14
00:01:05,339 --> 00:01:10,139
This is an article evidently produced at
the LSE, as you mentioned. So in this

15
00:01:10,139 --> 00:01:15,749
presentation, I'm going to focus only on
the dominate dominating production mode.

16
00:01:15,779 --> 00:01:20,819
So, the Tiki Bar pair production is
dominating here mostly through going

17
00:01:20,819 --> 00:01:25,889
through infusions. And unless I extend
There is also single production with the T

18
00:01:25,889 --> 00:01:31,919
channel, the Tw SSAT production and N dS
the S channel for the rare process either

19
00:01:31,919 --> 00:01:35,489
invite you to follow leadership
willingness to really develop

20
00:01:36,810 --> 00:01:38,520
this product predictions.

21
00:01:39,810 --> 00:01:45,210
So in first sections, then the core of the

22
00:01:46,350 --> 00:01:53,340
investigations on the top core concern the
core production, and here are summarized.

23
00:01:54,570 --> 00:01:58,950
Overview of the recent inclusive and
differential cross section measurements

24
00:01:59,010 --> 00:01:59,790
here. Let's see

25
00:02:01,319 --> 00:02:05,579
But first we have to just remind that
basically we have three main

26
00:02:05,579 --> 00:02:10,649
investigations channels to perform such
such measurements which depends on the

27
00:02:10,679 --> 00:02:15,929
final state of the city bar there you can
access with your detector. So, first we

28
00:02:15,929 --> 00:02:21,509
have the dialect and channels, the keenest
signature, but also the the lower signal

29
00:02:21,509 --> 00:02:27,119
statistics is a low branching ratios,
where you have the most precise results in

30
00:02:27,119 --> 00:02:31,409
the new final stage where you can mitigate
some background contamination especially

31
00:02:31,889 --> 00:02:37,739
the or Fulton's who, today lepton
backgrounds, we have wt backgrounds, fake

32
00:02:37,739 --> 00:02:40,769
leptons, dye bosons and Z to toto.

33
00:02:42,000 --> 00:02:46,230
On the other hand, we have the the lepton
plus jet channel which is a compromise

34
00:02:46,260 --> 00:02:51,510
between signal statistics and background
contamination. Here we are mostly the

35
00:02:51,540 --> 00:02:56,430
community by channel processes that will
use Jetson with the Jets. But he had given

36
00:02:56,430 --> 00:03:00,000
the largest statistic we have the
possibility to exploit multi

37
00:03:00,000 --> 00:03:03,960
To control regions to constrain systematic
uncertainty, finally, we have the whole

38
00:03:03,960 --> 00:03:08,850
alternate channels with a larger branching
ratio, but also the significantly less

39
00:03:08,850 --> 00:03:15,330
precise channels essentially due to the
large richer background uncertainty and

40
00:03:15,450 --> 00:03:19,800
but here we have some possibility to
explore for instance, highly boosted top

41
00:03:19,860 --> 00:03:25,950
box and get complimentary information. In
terms of systematic uncertainties, such

42
00:03:25,950 --> 00:03:29,130
measurements are dominated by the signal
modeling uncertainty.

43
00:03:30,660 --> 00:03:35,430
The object efficiency in calibration,
leptons jets flavor tagging, in general

44
00:03:35,430 --> 00:03:40,860
the background estimates and also the
luminosity. Getting back to the signal

45
00:03:40,860 --> 00:03:46,110
modeling. There are it's really a
challenge for for precision measurements

46
00:03:46,140 --> 00:03:50,190
where different strategies are developed
by the different collaborations plus in

47
00:03:50,190 --> 00:03:55,980
CMS, they look being uncertainties on
Generate or shower modeling metrics so

48
00:03:55,980 --> 00:03:59,970
element to potential matching asi for SAR,
PDF, and so on.

49
00:04:00,599 --> 00:04:06,389
There is a lot of discussion being seen in
order to convert on common prescriptions

50
00:04:06,389 --> 00:04:10,679
in order to make comparisons between the
conversion results and future

51
00:04:10,679 --> 00:04:11,459
combinations.

52
00:04:13,559 --> 00:04:17,789
Right eight, an overview of the state of
the art of the T bar cross section

53
00:04:17,789 --> 00:04:21,809
measurements. So since the beginning of
the 60s with a Chanel's many measurements

54
00:04:21,809 --> 00:04:30,449
performed by the Atlas, TMS, and motion
clearly CB collaboration, we found an

55
00:04:30,449 --> 00:04:34,109
impressive agreement between the
predictions and our measurements. So here

56
00:04:34,109 --> 00:04:37,679
on these plots, you have the inclusive
study by cross sections function of the

57
00:04:37,799 --> 00:04:39,059
center of mass energy

58
00:04:41,580 --> 00:04:48,570
measurements from Atlas and CMS and also
have to consider new measurements formula

59
00:04:48,570 --> 00:04:53,790
CV looking at for work to develop their
projections complimentary to face pay that

60
00:04:53,820 --> 00:04:55,710
Atlas or CMS can access.

61
00:04:57,210 --> 00:04:59,970
So in terms of the

62
00:05:00,000 --> 00:05:06,120
Latest inclusive measurements we have
first results here from Atlas first result

63
00:05:06,120 --> 00:05:11,490
exploding the full run to data set one on
114 investment to them. Since an increase

64
00:05:11,490 --> 00:05:15,960
even finish with the bulk cross section
measurement electron preset certain TV The

65
00:05:15,960 --> 00:05:21,030
idea is to select one agents with one lips
on electro neum keys for jets was swampy

66
00:05:21,030 --> 00:05:25,800
tech jets and perform the combined profile
I can fit two different kinematics

67
00:05:26,460 --> 00:05:31,140
minimizing the systematic uncertainty
effects in different single regions. So

68
00:05:31,140 --> 00:05:37,440
here on the bottom left you have an
illustration of the the minimal lift and

69
00:05:37,440 --> 00:05:44,310
jet mass distributions on the left in here
the the average angular distance of the

70
00:05:44,310 --> 00:05:47,730
three jets of the selected the

71
00:05:49,650 --> 00:05:50,340
three jets

72
00:05:52,260 --> 00:05:53,700
in the evens

73
00:05:55,110 --> 00:05:59,970
we have an analysis dominated by TT Bosch
our journeys ation salvation and search

74
00:06:00,000 --> 00:06:05,940
To deliver of 2.6% and also jet
reconstruction 2.4% for final measurements

75
00:06:05,940 --> 00:06:12,120
combined measurement reaching a precision
and 4.6% which is compatible with the

76
00:06:12,120 --> 00:06:14,220
latest theoretical predictions

77
00:06:15,360 --> 00:06:20,820
it's like 10 of them and as a measurement
here the first measurement from CMS deeper

78
00:06:21,060 --> 00:06:22,050
in the dial it in

79
00:06:23,370 --> 00:06:29,070
evens containing one time leptons certain
TV there is similar you select one leptons

80
00:06:29,100 --> 00:06:33,360
key three jets and in the three jets you
look for keys one digit and one jet

81
00:06:33,360 --> 00:06:38,820
identify the f1 key decaying tell it same
strategy or profile like you'd fit this

82
00:06:38,820 --> 00:06:44,880
time on the transverse mass of the liftin
missing t distribution, where this is

83
00:06:44,880 --> 00:06:50,250
split into different kinematics region
based on the distance. The average

84
00:06:50,250 --> 00:06:54,870
distance in the jet triplets you have
selected and Ito and youtell finally

85
00:06:54,870 --> 00:06:55,410
states.

86
00:06:56,640 --> 00:07:00,000
Here the dominating systematic systematic

87
00:07:00,000 --> 00:07:04,710
How jet lagged and indentification
uncertainty. We are also affected by the

88
00:07:04,710 --> 00:07:08,730
luminosity, the teapot background
normalization and the pileup at the end we

89
00:07:08,730 --> 00:07:15,720
reach a prediction of precision of 8.3%.
Here again compatible with the the latest

90
00:07:15,720 --> 00:07:20,070
theoretical prediction. And we add also a
number of extraction of

91
00:07:21,210 --> 00:07:24,750
additional information showing for
instance, the consistency of the lip and

92
00:07:24,750 --> 00:07:30,900
universality by computing the ratio
between these the LTL towel mode versus

93
00:07:30,900 --> 00:07:35,610
the dial over dialects and modes. Also an
improvement from the partial decay which

94
00:07:35,850 --> 00:07:40,530
the town the public came to tell you be
vehicle back to previous measurements.

95
00:07:41,190 --> 00:07:42,120
Slide 11

96
00:07:43,140 --> 00:07:50,760
one of the latest results in development
evens by a class for an exclusive and let

97
00:07:50,760 --> 00:07:55,380
them differential measurements. So here
the idea is to select easily to proceed

98
00:07:55,380 --> 00:08:00,000
signing new pair and one or two in one or
two beats in one or two digits and

99
00:08:00,000 --> 00:08:06,780
Perform content count analyses based in
these two, one and two B tech channels,

100
00:08:07,290 --> 00:08:12,690
and from them extract the TT bar cross
section measurement from the feet of these

101
00:08:12,750 --> 00:08:20,970
values. On top of that, there is a split
in the data campaign through a no blue

102
00:08:21,030 --> 00:08:26,040
iterative combination between 2015 2000
data in order to make use of the

103
00:08:26,040 --> 00:08:27,480
uncorrelated uncertainties

104
00:08:28,590 --> 00:08:32,340
between the different campaign leading to
significant reduction in total

105
00:08:32,340 --> 00:08:37,950
uncertainty. At the end, the dominant
systematics is the luminosity and then

106
00:08:37,950 --> 00:08:41,970
let's extend the background cross section
and Tiki Bar shower and naturalization and

107
00:08:41,970 --> 00:08:48,090
as I said, we reach here procedure of 2.4%
which is the most precise measurement at

108
00:08:48,090 --> 00:08:52,800
the elite See, here again fully compatible
with the latest theoretical prediction.

109
00:08:54,420 --> 00:08:58,950
Slide 12 a bit beyond just measuring the
TT bar cross section we can also consider

110
00:08:58,950 --> 00:08:59,970
TT barbarous adventure.

111
00:09:00,000 --> 00:09:05,400
Radiation so he it's a new result from the
latest result from CMS about the inclusive

112
00:09:05,400 --> 00:09:09,780
measurements of the TT bar plus jet jets
cross section and the ratio between these

113
00:09:09,780 --> 00:09:14,970
cross section D bar is BB bar. So, this is
measuring the fuel face space. So, through

114
00:09:14,970 --> 00:09:19,860
a profile I can fit to the B tagging
discriminant distribution of these

115
00:09:19,890 --> 00:09:25,200
additional jets. This allows to infer
directly on the titty bar plus b bar cross

116
00:09:25,200 --> 00:09:31,140
section and this is extrapolated to the to
the to the to the full face space through

117
00:09:31,500 --> 00:09:36,690
an acceptance corrections. On the left you
have the summary of these measurements for

118
00:09:36,690 --> 00:09:41,220
the ratio in the to cross section. At the
end we have inclusive TT BB v cross

119
00:09:41,220 --> 00:09:47,130
section and cross section ratio slightly
higher than the prediction the CIF

120
00:09:47,130 --> 00:09:51,960
consistent with the multicolor generator
predictions and we reach precision around

121
00:09:51,990 --> 00:09:57,870
13 to 12%. The Tiki Bar BB bar cross
section in perspective in dialects and in

122
00:09:57,870 --> 00:09:59,070
getting this channel

123
00:10:01,860 --> 00:10:07,470
Another new results is the evidence for
the Tiki Bar production elite collisions

124
00:10:07,500 --> 00:10:15,840
by CMS the energy of that of mass five TV
here this dyslexic to select Liberty sign

125
00:10:16,170 --> 00:10:22,380
at least one sign in new pair cooling
leptons and electron the new ones and two

126
00:10:22,380 --> 00:10:28,080
B tech jets and here same strategy profile
like you'd fit to VDD distributions in

127
00:10:28,080 --> 00:10:31,380
different electronic categories with or
without the tagging

128
00:10:32,790 --> 00:10:34,560
jet multiplicity information

129
00:10:35,580 --> 00:10:41,550
we reach a 4.0 sigma and three point
hating main both of these these categories

130
00:10:41,940 --> 00:10:48,000
and and at the end we observed usual cross
section slightly lower but see compatible

131
00:10:48,000 --> 00:10:54,420
with some scale proton proton data
expectation and, and theory calculations.

132
00:10:54,510 --> 00:10:58,890
On the left you have on the right you have
this illustration of search results with

133
00:10:58,890 --> 00:11:00,000
the cross section nominations.

134
00:11:00,000 --> 00:11:00,630
To the

135
00:11:02,220 --> 00:11:04,590
to the mass number to the squared here.

136
00:11:06,390 --> 00:11:09,780
So then beyond the inclusive,

137
00:11:10,860 --> 00:11:15,390
the inclusive measurement needs to move
forward to move towards the differential

138
00:11:15,420 --> 00:11:19,590
measurements which really stands as the
interface between the state of the art of

139
00:11:19,590 --> 00:11:23,670
the theory calculation, much color
generation and the experiments. It's

140
00:11:23,670 --> 00:11:28,980
allows us to give a strange test on
perturbative theories, several observable

141
00:11:28,980 --> 00:11:33,840
of sensitive to different effects, metric
elements, radiation hybridization. It's

142
00:11:33,840 --> 00:11:39,090
also a nice tool for us to improve our
simulation, attuning aeronautical

143
00:11:39,090 --> 00:11:43,590
engineering, and also probe new physics,
not modifying receive cross section

144
00:11:43,590 --> 00:11:48,270
essentially via an effective field theory
interpretation. And in this game, the

145
00:11:48,270 --> 00:11:54,030
unfolding of detectable observable measure
in physical face space to particle

146
00:11:54,060 --> 00:11:58,560
particles, and that's really at the heart
of the measurement strategy. And to

147
00:11:58,560 --> 00:11:59,970
illustrate a little bit decent

148
00:12:00,000 --> 00:12:00,750
Next slide.

149
00:12:01,860 --> 00:12:07,530
Our availability of computing and ninefold
the number of events is based on our

150
00:12:07,530 --> 00:12:13,770
understanding of the acceptance effect of
our detector. The migration between the

151
00:12:13,770 --> 00:12:18,690
particle the detectable observers versus
the particular pattern level observables.

152
00:12:19,290 --> 00:12:24,270
Also, additional connections on the
efficiency can be, can be done, apply to

153
00:12:24,270 --> 00:12:29,610
access to a full face space if you want to
compare to later theoretical prediction,

154
00:12:29,610 --> 00:12:33,450
for instance, but as soon as you have this
number for funding event, it's really easy

155
00:12:33,450 --> 00:12:38,130
to build differential cross section by
normalizing to the cross section to the

156
00:12:38,130 --> 00:12:42,510
luminosity or the being of your favorite
kinematic distribution.

157
00:12:43,590 --> 00:12:49,170
Among the latest results, here on slide
16, there is the last part of the

158
00:12:49,170 --> 00:12:54,330
intuitive measurement dialect events that
I mentioned above for my class here

159
00:12:54,330 --> 00:12:59,220
looking at lepton differential
distributions. So the exactly the same

160
00:12:59,220 --> 00:12:59,910
strategy

161
00:13:00,000 --> 00:13:05,070
Team events but he's been afflicted
kinematics and performing differential

162
00:13:05,280 --> 00:13:11,070
cross sections and compare particle level
prediction to choose the data. So, here

163
00:13:11,070 --> 00:13:13,110
you have an illustration of the Lipton PT.

164
00:13:14,190 --> 00:13:19,440
On the left and on the right you have
different ratios between several

165
00:13:19,440 --> 00:13:23,700
predictions and the data. In general from
these studies among the main conclusion,

166
00:13:23,700 --> 00:13:28,440
we have seen software like bt and move
forwards EDA distribution in data, but

167
00:13:28,440 --> 00:13:34,290
this leptin PT can improve could be
improved. In some Monte Carlo was set up

168
00:13:34,290 --> 00:13:40,140
essentially and set an ELO plus API
especially using our PDF. Now looking a

169
00:13:40,140 --> 00:13:44,640
bit closer to the top Quark distribution
There was a recent result from

170
00:13:44,640 --> 00:13:48,270
differential double differential democra
section Neptune preceded by a class

171
00:13:48,270 --> 00:13:53,130
exploring both resolved and boosted
topologies first slide here on the the

172
00:13:53,130 --> 00:13:57,120
results topology, selecting one Lipson and
that is for jet with the keys to detect

173
00:13:57,120 --> 00:13:59,970
jets. So here we have on the left

174
00:14:00,000 --> 00:14:03,600
The castration of the PT on the top here

175
00:14:04,650 --> 00:14:09,810
at officials face base so here again we
have confirmation that put peg with PJ

176
00:14:09,810 --> 00:14:15,330
it's best to describe the top PT
distribution but moving to the full face

177
00:14:15,330 --> 00:14:19,590
space and going a bit beyond that just the
differential measurement but looking at

178
00:14:19,590 --> 00:14:24,360
the double differential measurement we're
able to reveal some discrepancy between

179
00:14:24,360 --> 00:14:28,050
data and multicam. So, on the right you
have an illustration where you have the PT

180
00:14:28,290 --> 00:14:31,770
of the TT bar distributions in the middle
which looks okay

181
00:14:35,580 --> 00:14:39,990
in differential measurement, but on the
right when you been in terms of

182
00:14:39,990 --> 00:14:47,190
environments with Tiki Bar system, you see
the discrepancy exhibiting from from from

183
00:14:47,190 --> 00:14:47,790
the last

184
00:14:49,800 --> 00:14:54,750
few words about the boosted topologies
here so the idea is similar but instead of

185
00:14:54,750 --> 00:14:55,440
selecting

186
00:14:56,970 --> 00:14:59,220
separately jetty looks at one additional

187
00:15:00,000 --> 00:15:04,590
Larger jet which is clustered the
requested form a smaller jets here with a

188
00:15:04,620 --> 00:15:08,790
certain number of selections to to
identify these jets as jets compatible

189
00:15:08,790 --> 00:15:14,700
with the the top Quark and here we have
similar comparison but generally

190
00:15:14,760 --> 00:15:20,370
kinematics okay but a high matter reason
few discrepancy for some prediction. There

191
00:15:20,370 --> 00:15:26,010
is also a comparison between resolve and
boosted regime where good overlap between

192
00:15:26,010 --> 00:15:30,390
both has been observed even if the full
comparison is a bit difficult since the

193
00:15:30,390 --> 00:15:33,810
the definition of the object at particle
level is slightly different.

194
00:15:35,100 --> 00:15:41,550
In slide 19 similar results a new result
from from CMS and the differential to

195
00:15:41,550 --> 00:15:47,700
debug cross section IPT top cork here were
the the investigative these slides here

196
00:15:47,700 --> 00:15:51,840
the leptin plus jet final set was a one
large object one lips on one vitek jets

197
00:15:52,080 --> 00:15:55,860
and perform against some absolute and
normalize differential cross section

198
00:15:55,860 --> 00:15:59,940
measurement. Here you have an illustration
on the PT of the top

199
00:16:00,359 --> 00:16:05,879
The the rapidity of the topic in general
the the distributions generally will

200
00:16:05,879 --> 00:16:12,209
describe even if some models over predict
in general the absolute cross section by

201
00:16:12,509 --> 00:16:13,769
another 20%

202
00:16:15,299 --> 00:16:20,789
going to be beyond in these multi
differential exercises, CMS published a

203
00:16:20,789 --> 00:16:25,319
recent results here where they, they
looked at lots of different multi

204
00:16:25,319 --> 00:16:26,879
differential distributions

205
00:16:28,440 --> 00:16:33,300
and produce a normalized cross section,
measure the main opposite sign up for

206
00:16:33,300 --> 00:16:38,910
events where the main conclusions were
that no predictions were able to describe

207
00:16:38,940 --> 00:16:42,450
all distributions on the right you have an
illustration of the p value of the chi

208
00:16:42,450 --> 00:16:48,420
square test of different Monte Carlo
prediction for the different distribution

209
00:16:48,420 --> 00:16:55,260
investigated. And going back to the top PT
they observe the soft top PT distribution,

210
00:16:55,380 --> 00:16:59,280
especially against in this high Tiki Bar
mass

211
00:17:02,879 --> 00:17:07,139
going one step beyond There is also the
first triple differential measurement by

212
00:17:07,139 --> 00:17:13,169
CMS here in stration. Consider the
normalized 30 normalized

213
00:17:15,030 --> 00:17:18,990
differential cross section as function of
the rapidity of the TT bar system and

214
00:17:18,990 --> 00:17:23,340
being in term of environment. So, the Tiki
Bar system and the number of additional

215
00:17:23,340 --> 00:17:30,510
radiation. So, in general prediction looks
okay up to energetical one and we have for

216
00:17:30,540 --> 00:17:36,540
more complex final states. Some advantages
from Piquet again in the description of

217
00:17:36,540 --> 00:17:44,340
such such kinematics slide 22 a bit closer
about the old 20 finest day there was a

218
00:17:44,340 --> 00:17:49,380
new result from differential double
differential cross section measurement

219
00:17:49,860 --> 00:17:54,690
from a class. Here it's in resolve
topologies. So, the selecting events

220
00:17:54,690 --> 00:17:59,970
recently suggests is to detect jets and
perform similar a similar scene.

221
00:18:00,000 --> 00:18:01,050
Like the size

222
00:18:02,610 --> 00:18:06,930
differential cross section at particle and
baton level, in general, there are nice

223
00:18:06,930 --> 00:18:12,420
modeling the hardness of the leading three
jet emission leading to the top PT in the

224
00:18:12,420 --> 00:18:17,760
top top, the Tiki Bar PT distribution
compatible with several theory prediction

225
00:18:17,760 --> 00:18:21,570
at these at it is illustrated on the left
here with the differential distribution

226
00:18:22,020 --> 00:18:26,190
and here on the right with the the double
differential distribution which really

227
00:18:26,190 --> 00:18:31,260
exhibit where in the kinematics you have
the most important discrepancies.

228
00:18:32,640 --> 00:18:37,770
Slide 23 a complimentary of the result I
mentioned the new results of this

229
00:18:37,770 --> 00:18:41,790
differential feedback cross section IPT.
But these are fully identified states

230
00:18:41,790 --> 00:18:47,040
where by CMS we have two large objects are
selected. In here we have similar

231
00:18:47,040 --> 00:18:51,570
conclusion but we observe the more
prominence over predictions on the

232
00:18:51,570 --> 00:18:57,300
absolute cross sections level of 35% for
the different models have been straight

233
00:18:57,300 --> 00:18:59,970
here on the two plus PT of sudden suddenly

234
00:19:00,329 --> 00:19:06,419
tops in the Tiki Bar mass, but in general
the the the description is consistent and

235
00:19:06,419 --> 00:19:08,669
different differential distribution.

236
00:19:10,650 --> 00:19:16,740
So now just to come to conclude, the last
part is dedicated to also recently fought

237
00:19:16,740 --> 00:19:21,660
on the single core productions. Now I want
you to I like to results

238
00:19:23,100 --> 00:19:28,080
on these but first of all here an overview
of the state of the art of what's being

239
00:19:28,080 --> 00:19:33,990
performed in, in this sector by a classic
TMS. So again, lots of measurements, the

240
00:19:33,990 --> 00:19:38,910
prediction here also impressively
impressively in agreement with the

241
00:19:38,910 --> 00:19:44,370
measurements. And in order to get even
better precision on this measurement,

242
00:19:44,370 --> 00:19:48,840
there is also the idea of combining the
result and the purpose of this first slide

243
00:19:48,870 --> 00:19:55,500
about you fought combining runway
measurements, where the team performed the

244
00:19:55,530 --> 00:20:00,000
group combinations of the 10 inclusive
measurements production and setting

245
00:20:00,000 --> 00:20:07,200
have less energy. Here the difficulties to
care take care of the experimental

246
00:20:07,200 --> 00:20:11,340
uncertainty and correlation which exists
between the different sources but also

247
00:20:11,340 --> 00:20:17,340
between the experiments where there's lots
of works behind the scene, this and we

248
00:20:17,340 --> 00:20:17,670
have

249
00:20:19,560 --> 00:20:23,220
finally final combination which is
dominated by theory, analytical modeling

250
00:20:23,220 --> 00:20:28,590
jet reconstructions. And in case of these
external data statistics, at the end, we

251
00:20:28,590 --> 00:20:32,820
have measurements reaching combined
measurements reaching precision of 8.4 and

252
00:20:32,820 --> 00:20:42,780
25% for T and wt channels at 70 V, and
6.8 16 and 30% respectively for t wt s

253
00:20:42,780 --> 00:20:44,190
channel at a TV.

254
00:20:45,780 --> 00:20:53,250
On top of combining cross sections, there
is also a combination of the VTB secant

255
00:20:53,250 --> 00:20:54,000
parameters.

256
00:20:55,080 --> 00:20:59,580
This is being determined for each
production but also the full combination

257
00:20:59,580 --> 00:21:00,000
of orders

258
00:21:00,000 --> 00:21:05,550
All reasons that leads to better come
combined VTB to the square and even to the

259
00:21:05,550 --> 00:21:10,260
linear dependence with the cross section.
And he had systematic uncertainty

260
00:21:10,500 --> 00:21:16,230
dominating his theory theory modeling,
theoretical cross sections and the d'etre

261
00:21:16,230 --> 00:21:21,120
constructions at the end. This exercise
this combined measurements which are

262
00:21:21,120 --> 00:21:27,150
precision of 3.7%, which is driven by the
T channel cross section measurements.

263
00:21:28,860 --> 00:21:34,500
Finally, one last result in your result
from from CMS with a differential 30

264
00:21:34,500 --> 00:21:39,240
minute differential Tw cross section in
dialog engines,

265
00:21:40,380 --> 00:21:44,460
where it needs to select here, emu pairs

266
00:21:45,480 --> 00:21:51,780
and perform an even classification based
on jet and detect jet multiplicities has

267
00:21:51,780 --> 00:21:57,600
illustrated on the bottom with this
distribution here and perform a normalized

268
00:21:57,600 --> 00:21:59,970
differential cross section measure that's
found

269
00:22:00,000 --> 00:22:02,760
Also several values properties.

270
00:22:04,020 --> 00:22:10,680
And here the systematic uncertainty
community by the jet reconstruction, the

271
00:22:10,680 --> 00:22:16,380
theory modeling and of the TT bar
background which is really dominating here

272
00:22:16,380 --> 00:22:17,850
the Select events.

273
00:22:19,020 --> 00:22:25,350
to to to conclude one last slide with the
illustration of some of the kinematics

274
00:22:25,350 --> 00:22:30,270
investigated here you have the jet bt
delta phi between the electron and the

275
00:22:30,270 --> 00:22:36,090
moon and the transverse mass of the Tw
system here which is where they are

276
00:22:36,090 --> 00:22:42,510
compared to two different Tw signal
prediction based on po egg and Metcalf

277
00:22:42,630 --> 00:22:48,960
Sienna Luca speciate. And here we have
consistency between the prediction and the

278
00:22:49,410 --> 00:22:50,610
end and the data.

279
00:22:52,050 --> 00:22:58,350
Finally, one summary so the Alexi run one
and run to provide you the high statistics

280
00:22:58,380 --> 00:22:59,520
Core Data

281
00:23:00,000 --> 00:23:03,120
Many precision measurement perform until
now.

282
00:23:04,170 --> 00:23:10,410
Recent measurements have confirmed our
good agreements, model expectations,

283
00:23:11,010 --> 00:23:16,500
improving precision, for instance,
exploiting larger data statistics or via

284
00:23:16,800 --> 00:23:21,420
some combinations between the different
experiments and also probing new

285
00:23:21,420 --> 00:23:25,770
kinematics regimes especially in highly
boosted state. We also have a better

286
00:23:25,770 --> 00:23:29,550
understanding of the physics modeling and
detector effects we've had the end

287
00:23:29,550 --> 00:23:33,900
represents the largest experimental
uncertainty and real challenge for

288
00:23:34,200 --> 00:23:38,220
precision measurements. And in this
society, the differential cross section

289
00:23:38,220 --> 00:23:42,300
measurement is really at the heart of the
latest investigation. And in particular,

290
00:23:42,300 --> 00:23:48,150
the, the multi differential measurements
give very powerful insights and extremely

291
00:23:48,150 --> 00:23:52,770
useful for improving our multicolor
predictions. That's all from my side.

292
00:23:52,830 --> 00:23:58,890
Thank you very much for your attention.
Thanks, Jeffrey, for the nice talk. So we

293
00:23:58,890 --> 00:23:59,970
are open for questions now.

294
00:24:00,000 --> 00:24:03,630
Please say your name and institution and
raise your hand.

295
00:24:04,950 --> 00:24:07,680
I think we have one question from Lisa.

296
00:24:14,190 --> 00:24:19,770
You had unmuted your panelists, so you can
go here. Yeah. Okay, isn't it there's

297
00:24:19,770 --> 00:24:22,050
somebody in the University of Goodson
Atlas.

298
00:24:23,160 --> 00:24:28,500
Thanks, Jeffrey. Very nice talk a lot of
information. And so the you presented this

299
00:24:28,500 --> 00:24:32,340
new measurement of tiki bar plus heavy
flavor from CMS.

300
00:24:33,720 --> 00:24:40,860
Maybe it was too fast. So, my impression
is that compared to the previous

301
00:24:40,860 --> 00:24:47,580
measurement, where CMS measures the ratio
of TT BB to teach your change, say, of the

302
00:24:47,580 --> 00:24:57,060
factor of 1.7 with uncertain 0.3 I think
that these new measurements do not show

303
00:24:57,060 --> 00:24:59,970
such big ratio or

304
00:25:00,000 --> 00:25:01,140
Am I wrong

305
00:25:02,399 --> 00:25:09,479
with respect to enhancement of TT BB with
respect to TT? Jj

306
00:25:11,370 --> 00:25:15,120
there is no such plot. Okay, here it is
ratio

307
00:25:17,640 --> 00:25:23,400
is yes. You have the previous, the
previous measurement here, right. Oh,

308
00:25:23,400 --> 00:25:28,500
okay. Okay, good. Yes. On the bottom left,
you see which is slightly slightly lower.

309
00:25:29,040 --> 00:25:32,250
That's also the uncertainties. It's like
you reduced

310
00:25:33,270 --> 00:25:37,020
because they changed the procedure now
they treat the systematics in terms of

311
00:25:37,740 --> 00:25:42,630
through the profiler, like you'd fit as
reasons parameters and also restrict to

312
00:25:42,630 --> 00:25:43,410
beat the bounds.

313
00:25:44,700 --> 00:25:50,130
Right. So this factor changed, in fact,
right from based on the recent

314
00:25:50,130 --> 00:25:50,760
measurement.

315
00:25:51,990 --> 00:25:52,470
Thanks.

316
00:25:56,460 --> 00:25:57,810
Other questions?

317
00:25:59,010 --> 00:26:00,000
I don't see any other

318
00:26:00,539 --> 00:26:06,989
Hands rate, I do have a question. And for
the case for the inclusive lead complected

319
00:26:07,019 --> 00:26:14,519
TTR cross section that with 100 foot run
to measurement from Atlas. Yes, these one.

320
00:26:14,999 --> 00:26:19,289
So what is the luminosity? So there are
two questions. What is the luminosity

321
00:26:19,289 --> 00:26:23,999
uncertainty in the systematics that in the
systematics, what is the

322
00:26:25,590 --> 00:26:30,270
proportion or the ratio? What is the
number for the luminosity here? And are

323
00:26:30,270 --> 00:26:35,490
you profiling here? The luminosity and in
the dilettante are not in the dialect on

324
00:26:35,520 --> 00:26:40,380
that is a few pages after this one. Are
you doing the same treatment for the

325
00:26:40,380 --> 00:26:46,170
luminosity in both analysis? So first of
all, the luminosity is at the level of

326
00:26:46,200 --> 00:26:53,460
1.7%, if I remember correctly, and then
for the profile link of this nuisance

327
00:26:53,460 --> 00:26:57,900
parameter. I'm not completely sure. I
would say I would say not but maybe

328
00:26:57,900 --> 00:26:59,340
someone can confirm

329
00:27:00,000 --> 00:27:06,120
Yes, we do profile this, but this
uncertainty is not moved or constraint.

330
00:27:06,480 --> 00:27:14,370
It, it stays as is and it doesn't, in
fact, when it does belong to high amounts

331
00:27:14,460 --> 00:27:18,120
at the analysis is fully dominated by the
teacher by modern humans

332
00:27:19,980 --> 00:27:24,180
fully, but I mean, it's one of the major
uncertainties and luminosity a number

333
00:27:24,180 --> 00:27:27,750
three or four, number three or four, but
it's the treatment different than the four

334
00:27:27,750 --> 00:27:31,740
that I left on China that what you're
doing in a few pages after the

335
00:27:32,910 --> 00:27:36,030
Yes, the treatment is different in the
sense that

336
00:27:37,200 --> 00:27:40,620
dialectic dialect on in general, they

337
00:27:42,510 --> 00:27:51,660
it's a combination of 2015 and 2016.
Right, and to them for 2015 aluminous.

338
00:27:51,660 --> 00:27:59,340
Down 70 was significantly larger. That's
why these two data sets are

339
00:28:00,000 --> 00:28:07,860
Combined by blue, not by applying average
element Austan certainty for 2015 and 2016

340
00:28:07,980 --> 00:28:17,610
because it would have been significantly
larger than in the laptop analysis, but

341
00:28:17,610 --> 00:28:22,500
also the luminosity is not proof I mean,
this is my yes nothing is profiled in this

342
00:28:22,500 --> 00:28:26,370
Yes, in this one but in the other one it
is it is yes. Okay.

343
00:28:32,280 --> 00:28:34,110
there any other questions?

344
00:28:38,490 --> 00:28:38,910
Okay.